Evidence map›Paper›PMID 36352452›Full record

ArticleGenome biology2022

Personalized genome assembly for accurate cancer somatic mutation discovery using tumor-normal paired reference samples.

Chunlin Xiao, Zhong Chen, Wanqiu Chen, Cory Padilla, Michael Colgan, Wenjun Wu, Li-Tai Fang, Tiantian Liu, Yibin Yang, Valerie Schneider and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. A complete human pancreatic cancer genome.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Chunlin XiaoNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 45 Center Drive, Bethesda, MD, 20894, USA. xiao2@mail.nih.gov.ORCID 0000-0001-8702-4889
Zhong ChenCenter for Genomics, Loma Linda University School of Medicine, 11021 Campus St., Loma Linda, CA, 92350, USA.
Wanqiu ChenCenter for Genomics, Loma Linda University School of Medicine, 11021 Campus St., Loma Linda, CA, 92350, USA.
Cory PadillaDovetail Genomics, 100 Enterprise Way, Scotts Valley, CA, 95066, USA.
Michael ColganThe Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Wenjun WuBlood Cell Development and Function Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA.
Li-Tai FangBioinformatics Research & Early Development, Roche Sequencing Solutions Inc., 1301 Shoreway Road, Belmont, CA, 94002, USA.
Tiantian LiuCenter for Genomics, Loma Linda University School of Medicine, 11021 Campus St., Loma Linda, CA, 92350, USA.
Yibin YangBlood Cell Development and Function Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA.
Valerie SchneiderNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 45 Center Drive, Bethesda, MD, 20894, USA.
Charles WangCenter for Genomics, Loma Linda University School of Medicine, 11021 Campus St., Loma Linda, CA, 92350, USA. chwang@llu.edu.
Wenming XiaoThe Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA. Wenming.Xiao@fda.hhs.gov.
Loma Linda University · USFox Chase Cancer Center · USNational Institutes of Health · USUnited States Food and Drug Administration · USDovetail Genomics (United States) · US

Funding

Analysis and Therapeutic Targeting of the Linear-Ubiquitination Pathway in Hodgkin LymphomaR01CA251674 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI YANG, YIBIN · 2021 to 2025
$2.1M
High Throughput DNA SequencerS10OD019960 · OD · LOMA LINDA UNIVERSITY · PI WANG, CHARLES · 2015 to 2015
$272k
NCI NIH HHS R01 CA251674NIH HHS S10 OD019960
6 · The paper itself

Abstract

backgroundThe use of a personalized haplotype-specific genome assembly, rather than an unrelated, mosaic genome like GRCh38, as a reference for detecting the full spectrum of somatic events from cancers has long been advocated but has never been explored in tumor-normal paired samples. Here, we provide the first demonstrated use of de novo assembled personalized genome as a reference for cancer mutation detection and quantifying the effects of the reference genomes on the accuracy of somatic mutation detection.

resultsWe generate de novo assemblies of the first tumor-normal paired genomes, both nuclear and mitochondrial, derived from the same individual with triple negative breast cancer. The personalized genome was chromosomal scale, haplotype phased, and annotated. We demonstrate that it provides individual specific haplotypes for complex regions and medically relevant genes. We illustrate that the personalized genome reference not only improves read alignments for both short-read and long-read sequencing data but also ameliorates the detection accuracy of somatic SNVs and SVs. We identify the equivalent somatic mutation calls between two genome references and uncover novel somatic mutations only when personalized genome assembly is used as a reference.

conclusionsOur findings demonstrate that use of a personalized genome with individual-specific haplotypes is essential for accurate detection of the full spectrum of somatic mutations in the paired tumor-normal samples. The unique resource and methodology established in this study will be beneficial to the development of precision oncology medicine not only for breast cancer, but also for other cancers.

Indexed as

NeoplasmsGenomeHaplotypesHigh-Throughput Nucleotide SequencingHumansMutationPrecision MedicineSequence Analysis, DNASoftware

Identifiers

PMID36352452
PMCPMC9648002
OpenAlexW4308730663

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.